Lewis Smith

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 16

Top Topics

Theoretical And Empirical Study

Diabetic Retinopathy

Top Venues

Publications

Senthooran Rajamanoharan, Arthur Conmy, Lewis Smith, Tom Lieberum, Vikrant Varma, János Kramár, Rohin Shah, Neel Nanda
Improving Dictionary Learning with Gated Sparse Autoencoders. CoRR (2024)
Joost van Amersfoort, Lewis Smith, Andrew Jesson, Oscar Key, Yarin Gal
Improving Deterministic Uncertainty Estimation in Deep Learning for Classification and Regression. CoRR (2021)
Lewis Smith, Joost van Amersfoort, Haiwen Huang, Stephen J. Roberts, Yarin Gal
Can convolutional ResNets approximately preserve input distances? A frequency analysis perspective. CoRR (2021)
Owen Convery, Lewis Smith, Yarin Gal, Adi Hanuka
Quantifying Uncertainty for Machine Learning Based Diagnostic. CoRR (2021)
Sebastian Farquhar, Lewis Smith, Yarin Gal
Try Depth Instead of Weight Correlations: Mean-field is a Less Restrictive Assumption for Deeper Networks. CoRR (2020)
Joost van Amersfoort, Lewis Smith, Yee Whye Teh, Yarin Gal
Simple and Scalable Epistemic Uncertainty Estimation Using a Single Deep Deterministic Neural Network. CoRR (2020)
Mizu Nishikawa-Toomey, Lewis Smith, Yarin Gal
Semi-supervised Learning of Galaxy Morphology using Equivariant Transformer Variational Autoencoders. CoRR (2020)
Sebastian Farquhar, Lewis Smith, Yarin Gal
Liberty or Depth: Deep Bayesian Neural Nets Do Not Need Complex Weight Posterior Approximations. NeurIPS (2020)
Joost van Amersfoort, Lewis Smith, Yee Whye Teh, Yarin Gal
Uncertainty Estimation Using a Single Deep Deterministic Neural Network. ICML (2020)
Lewis Smith, Lisa Schut, Yarin Gal, Mark van der Wilk
Capsule Networks - A Probabilistic Perspective. CoRR (2020)
Gonzalo Mateo-Garcia, Silviu Oprea, Lewis Smith, Josh Veitch-Michaelis, Guy Schumann, Yarin Gal, Atilim Günes Baydin, Dietmar Backes
Flood Detection On Low Cost Orbital Hardware. CoRR (2019)
Mike Walmsley, Lewis Smith, Chris J. Lintott, Yarin Gal, Steven Bamford, Hugh Dickinson, Lucy Fortson, Sandor Kruk, Karen Masters, Claudia Scarlata, Brooke Simmons, Rebecca J. Smethurst, Darryl Wright
Galaxy Zoo: Probabilistic Morphology through Bayesian CNNs and Active Learning. CoRR (2019)
Angelos Filos, Sebastian Farquhar, Aidan N. Gomez, Tim G. J. Rudner, Zachary Kenton, Lewis Smith, Milad Alizadeh, Arnoud de Kroon, Yarin Gal
A Systematic Comparison of Bayesian Deep Learning Robustness in Diabetic Retinopathy Tasks. CoRR (2019)
Lewis Smith, Yarin Gal
Understanding Measures of Uncertainty for Adversarial Example Detection. CoRR (2018)
Yarin Gal, Lewis Smith
Idealised Bayesian Neural Networks Cannot Have Adversarial Examples: Theoretical and Empirical Study. CoRR (2018)
Lewis Smith, Yarin Gal
Understanding Measures of Uncertainty for Adversarial Example Detection. UAI (2018)